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Vispark: GPU-Accelerated Distributed Visual Computing Using Spark

Woohyuk Choi, Sumin Hong, Won-Ki Jeong

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Tags: Clustering, Computer science, CUDA, Distributed computing, DSL, GPU cluster, Image processing, MapReduce, nVidia, nVidia GeForce GTX Titan, Python, Rendering, Spark

November 8, 2016 by hgpu

Ultra-Fast Detection of Higher-Order Epistatic Interactions on GPUs

Daniel Junger, Christian Hundt, Jorge Gonzalez-Dominguez, Bertil Schmidt

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Tags: Algorithms, Bioinformatics, Clustering, Computer science, CUDA, Filtering, nVidia, nVidia GeForce GTX Titan X

September 3, 2016 by hgpu

OpenMP Parallelization and Optimization of Graph-based Machine Learning Algorithms

Zhaoyi Meng, Alice Koniges, Yun (Helen) He, Samuel Williams, Thorsten Kurth, Brandon Cook, Jack Deslippe, Andrea L. Bertozzi

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Tags: Clustering, Computer science, Intel Xeon Phi, Machine learning, OpenMP

June 9, 2016 by hgpu

Parallel data mining algorithms for multi-dimensional points on GPUs

Takazumi Matsumoto

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Tags: Algorithms, Clustering, Computer science, Data mining, Heterogeneous systems, Nearest neighbour, nVidia, nVidia GeForce GTX 780, OpenCL, Thesis

April 16, 2016 by hgpu

Extracting Flow Features Using Bag-of-Features and Supervised Learning Techniques

Yifei Li

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Tags: Algorithms, Clustering, Computer science, Computer vision, CUDA, Machine learning, nVidia, nVidia GeForce GTX 580, OpenMP, Package, Thesis, Visualization

February 2, 2016 by hgpu

A Case for Work-stealing on FPGAs with OpenCL Atomics

Nadesh Ramanathan, John Wickerson, Felix Winterstein, George A. Constantinides

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Tags: Algorithms, Clustering, Computer science, FPGA, OpenCL

January 14, 2016 by hgpu

GPU-Based Fuzzy C-Means Clustering Algorithm for Image Segmentation

Mishal Almazrooie, Mogana Vadiveloo, Rosni Abdullah

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, Tesla C2050

January 7, 2016 by hgpu

Optimization of a Machine Learning Algorithm on the Heterogeneous system using OpenCL

Min Gyung Song, Dongweon Yoon

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Tags: Algorithms, AMD Radeon R9 290, ATI, Clustering, Computer science, Heterogeneous systems, Machine learning, OpenCL

November 25, 2015 by hgpu

Density-based parallel skin lesion border detection with webCL

James Lemon, Sinan Kockara, Tansel Halic, Mutlu Mete

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Tags: Algorithms, Bioinformatics, Clustering, Heterogeneous systems, Image processing, Java, OpenCL

October 16, 2015 by hgpu

gSLICr: SLIC superpixels at over 250Hz

Carl Yuheng Ren, Victor Adrian Prisacariu, Ian D Reid

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Tags: Clustering, Computer science, Computer vision, CUDA, nVidia, OpenCV, Package

September 17, 2015 by hgpu

A GPU-accelerated local search algorithm for the Correlation Clustering problem

Mario Levorato, Lucia Drummond, Yuri Frota, Rosa Figueiredo

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Tags: Algorithms, Clustering, Computer science, CUDA, Metaheuristics, nVidia, Tesla K40

August 31, 2015 by hgpu

Design and optimization of DBSCAN Algorithm based on CUDA

Bingchen Wang, Chenglong Zhang, Lei Song, Lianhe Zhao, Yu Dou, Zihao Yu

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, Tesla K10

June 10, 2015 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Vispark: GPU-Accelerated Distributed Visual Computing Using Spark

Ultra-Fast Detection of Higher-Order Epistatic Interactions on GPUs

OpenMP Parallelization and Optimization of Graph-based Machine Learning Algorithms

Parallel data mining algorithms for multi-dimensional points on GPUs

Extracting Flow Features Using Bag-of-Features and Supervised Learning Techniques

A Case for Work-stealing on FPGAs with OpenCL Atomics

GPU-Based Fuzzy C-Means Clustering Algorithm for Image Segmentation

Optimization of a Machine Learning Algorithm on the Heterogeneous system using OpenCL

Density-based parallel skin lesion border detection with webCL

gSLICr: SLIC superpixels at over 250Hz

A GPU-accelerated local search algorithm for the Correlation Clustering problem

Design and optimization of DBSCAN Algorithm based on CUDA

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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